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prompt_fine_tuned_boolq_bert

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tjasad/prompt_fine_tuned_boolq_bert

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  1. README.md +10 -12
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README.md CHANGED
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6710
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- - Accuracy: 0.7778
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- - F1: 0.7481
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  ## Model description
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@@ -46,20 +46,18 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 8
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | No log | 1.0 | 12 | 0.7544 | 0.2222 | 0.0808 |
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- | No log | 2.0 | 24 | 0.7285 | 0.2222 | 0.0808 |
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- | No log | 3.0 | 36 | 0.7061 | 0.3333 | 0.2833 |
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- | No log | 4.0 | 48 | 0.6909 | 0.5556 | 0.5926 |
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- | No log | 5.0 | 60 | 0.6817 | 0.7222 | 0.7325 |
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- | No log | 6.0 | 72 | 0.6760 | 0.7778 | 0.7778 |
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- | No log | 7.0 | 84 | 0.6722 | 0.7778 | 0.7481 |
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- | No log | 8.0 | 96 | 0.6710 | 0.7778 | 0.7481 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6444
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+ - Accuracy: 0.8333
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+ - F1: 0.7914
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 6
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 12 | 0.6844 | 0.5 | 0.5333 |
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+ | No log | 2.0 | 24 | 0.6700 | 0.6111 | 0.6408 |
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+ | No log | 3.0 | 36 | 0.6572 | 0.7778 | 0.7778 |
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+ | No log | 4.0 | 48 | 0.6492 | 0.8333 | 0.7914 |
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+ | No log | 5.0 | 60 | 0.6454 | 0.8333 | 0.7914 |
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+ | No log | 6.0 | 72 | 0.6444 | 0.8333 | 0.7914 |
 
 
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  ### Framework versions
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